Provides tools for identifying potential information leakage and validation risks in machine learning workflows using environmental sensor data. The package includes checks for temporal ordering, shared sensors, spatial proximity, and overlapping temporal windows. The diagnostics are motivated by considerations of spatial and temporal structure in model validation (Roberts et al., 2017) <doi:10.1111/ecog.02881>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-30 |
| DOI: | 10.32614/CRAN.package.sensorLeak |
| Author: | Divya Umai Raja [aut, cre, cph], Sanjana Sujil [aut, cph] |
| Maintainer: | Divya Umai Raja <iamuayvid at gmail.com> |
| BugReports: | https://github.com/division55/sensorLeak/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/division55/sensorLeak |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | sensorLeak results |
| Reference manual: | sensorLeak.html , sensorLeak.pdf |
| Vignettes: |
Introduction to sensorLeak (source, R code) |
| Package source: | sensorLeak_0.1.0.tar.gz |
| Windows binaries: | r-devel: sensorLeak_0.1.0.zip, r-release: not available, r-oldrel: sensorLeak_0.1.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): sensorLeak_0.1.0.tgz, r-oldrel (x86_64): sensorLeak_0.1.0.tgz |
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